We evaluate performance on two standard benchmarks. Compared to direct episodic meta-training from scratch, recent works [1]}, [2]} gain a large advantage from pre-training on all training data and labels, followed by episodic fine-tuning. We follow the framework of [3]}, [4]} and pre-train our model on the entire training set as described in Sec. REF .
